GIS & Remote Sensing · Amazon · Conservation

GIS and remote sensing consultant in Brazil, specialising in Amazon, conservation and environmental data.

I am Ana Clara Santos Venâncio, a forest engineer and GIS consultant based in Acre, at the triple frontier of Brazil, Peru and Bolivia. I provide geospatial analysis and cartographic services for conservation organisations, research teams, environmental agencies and international NGOs working in the Amazon and across Brazil.

My practice combines Google Earth Engine scripting, MapBiomas data pipelines and field-informed interpretation, producing land-cover analyses, deforestation assessments and publication-ready cartography that hold up to scientific and regulatory scrutiny.

37 years of satellite data analysed
3 indigenous territories mapped
400+ people trained in geotechnology

What a GIS consultant does for conservation

Turning satellite data into decisions.

A GIS and remote sensing consultant translates raw spatial data, satellite imagery, field surveys, administrative boundaries, into evidence that organisations can act on. For conservation projects, this typically means five kinds of work:

  • Land-cover analysis: classifying and quantifying vegetation types, deforestation, regeneration and land use at property, municipal or biome scale, using validated data sources such as MapBiomas Collection 8 and PRODES/INPE annual increments.
  • Deforestation monitoring: detecting and documenting forest loss through time-series comparison, alert validation and spatial statistics, producing evidence files suitable for enforcement, legal proceedings or compliance reporting.
  • Territorial mapping: georeferencing and mapping indigenous lands, conservation units, extractive reserves and rural properties, integrating FUNAI, IBGE, MMA and SICAR datasets with precision field data.
  • Funding-proposal data: producing the spatial annexes, baseline maps and quantified land-cover statistics that international funders, climate funds and development banks expect to see in conservation project proposals.
  • Compliance and regulatory evidence: generating satellite-derived documentation of vegetation remnants, permanent preservation areas (APPs) and land-use history for environmental licensing, CAR/PRA processes and legal review.

Amazon-specific expertise

Why Amazon GIS is different.

Working with satellite data in the Amazon is not the same as working with it elsewhere. Persistent cloud cover across large portions of the western Amazon makes single-date imagery unreliable. Analysts who are not familiar with Landsat/Sentinel compositing strategies for high-rainfall regions will routinely misclassify canopy conditions or miss deforestation events under seasonal cloud.

Brazil's forest-monitoring datasets are also distinct. PRODES, the INPE deforestation-mapping programme, uses a specific cut-off date, classification logic and polygon format that differs from global products. MapBiomas uses a Landsat-based classification trained on Brazilian land cover, with collection-specific legend conventions that must be understood to interpret results correctly. SICAR, the rural environmental registry, requires familiarity with Brazil's Forest Code and the regularisation workflows it underpins.

Indigenous territory boundaries from FUNAI, hydrography from ANA and administrative data from IBGE are essential context layers that are frequently out of date, overlapping or inconsistently formatted. Knowing how to use them, and when not to trust them, requires field-based experience.

I am based in Acre, in the western Amazon, at the point where Brazil, Peru and Bolivia meet. The Chico Mendes Extractive Reserve, three indigenous territories and multiple conservation units are within or adjacent to the area I work in most. That geographic specificity is not incidental, it informs every methodological decision I make.

Brazil-specific datasets I work with daily

MapBiomas (Collection 8) · PRODES/INPE annual deforestation increments · SICAR rural environmental registry · FUNAI indigenous territory polygons · ANA hydrography (Otto-coded watersheds) · IBGE census sectors and administrative boundaries · MMA conservation unit boundaries · CAR/PRA spatial files

Location advantage

Based at the triple frontier (Acre, Brazil), I work within the landscapes I analyse. Fieldwork, local institutional knowledge and Portuguese-language engagement with producers, communities and agencies are part of every project.


Tools and data sources

The full technical stack.

All tools selected for their fitness to the Amazon data environment and to the workflows of conservation, research and regulatory organisations.

  • QGIS
  • ArcGIS Pro
  • Google Earth Engine
  • MapBiomas Collection 8
  • PRODES / INPE
  • SICAR
  • FUNAI indigenous territory data
  • ANA hydrography
  • IBGE administrative boundaries
  • Python (GeoPandas, Rasterio, Shapely)
  • Avenza Maps (field)
  • R (spatial statistics)
  • Adobe Illustrator (cartographic finishing)

Who I work with

Organisations that work seriously with territory.

My clients share a common need: spatial evidence that is rigorous enough for scientific publication, legal proceedings or international funding applications. They range across sectors:

NGOs and conservation funds
Academic research groups
Environmental consultancies
Government agencies (SEMA, ICMBio, FUNAI)
Climate and nature-based investment firms
International development organisations
Indigenous rights organisations
Rural producers and agronomists

Selected work

Recent GIS and remote sensing projects.

A representative selection of delivered GIS and remote sensing work. Full documentation available on request.

MapBiomas · Google Earth Engine · UFAC · 2024

Chico Mendes RESEX,37-year land-cover atlas

A complete land-cover and land-use change analysis of the Chico Mendes Extractive Reserve from 1985 to 2022, built from MapBiomas Collection 8 processed in Google Earth Engine. Produced as an undergraduate research atlas at UFAC, the work tracks deforestation dynamics, pasture expansion and forest regeneration across 37 annual time steps and provides a documented, reproducible GEE methodology for ongoing monitoring.

FUNAI · SICAR · CPI-Acre · 2021–2023

Indigenous territorial monitoring, Nawa, Nukini, Cabeceira do Rio Acre

GIS support to CPI-Acre's indigenous territorial monitoring programme, covering three territories in the western Amazon: Terra Indígena Nawa, Terra Indígena Nukini and Terra Indígena Cabeceira do Rio Acre. Work included boundary georeferencing, land-cover change detection, deforestation alert validation and cartographic outputs for community use and legal proceedings.

See full case studies

Work with me

Looking for a GIS and remote sensing consultant with deep Amazon experience? Let's scope your project.

Send a brief outline of your project, the territory, the data challenge and the output you need. I'll respond within two working days with a clear sense of what's feasible and how I'd approach it.